In this paper, a deep learning-based load forecasting model for microgrids is proposed, and its application effect in different microgrids is verified thro...
Abstract: Predicting electrical load is crucial for microgrid energy management. Short-term load forecasting (STLF) help…
Precise and rapid load forecasting for microgrids actively contributes to the rational formulation of operational dispat…
Typical microgrid load forecasting tasks are summarized in our paper, including accuracy-oriented, real-time response an…
To tackle these challenges, this paper introduces a novel multi-load prediction model for microgrids, rooted in the Spat…
In this paper, a load-forecasting algorithm for microgrid based on improved long short-term memory neural network (LSTM)…
Abstract Short-term load forecasting (STLF) plays a key role in the operation, stability, and economic aspects of microg…
In this paper, a deep learning-based load forecasting model for microgrids is proposed, and its application effect in di…
An extensive list of suitable research papers was compiled from the Web of Science and analyzed, considering the method …
Several research studies have focused on Integrated Load Forecasting and DM in SBMGs, utilizing different techniques and…
Abstract: Load forecasting is an important part of microgrid control and operation. To improve the accuracy and reliabil…
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